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        <p>争做数据处理小能手<br><a id="more"></a></p>
<h1 id="Universal-Function"><a href="#Universal-Function" class="headerlink" title="Universal Function"></a>Universal Function</h1><h2 id="广播"><a href="#广播" class="headerlink" title="广播"></a>广播</h2><h1 id="创建数组"><a href="#创建数组" class="headerlink" title="创建数组"></a>创建数组</h1><h2 id="从已有数据创建"><a href="#从已有数据创建" class="headerlink" title="从已有数据创建"></a>从已有数据创建</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">np.array( [ [<span class="number">1</span>,<span class="number">2</span>], [<span class="number">3</span>,<span class="number">4</span>] ], dtype=complex )</span><br><span class="line">np.asarray()</span><br><span class="line">np.asanyarray()</span><br></pre></td></tr></table></figure>
<h2 id="创建特殊的数组"><a href="#创建特殊的数组" class="headerlink" title="创建特殊的数组"></a>创建特殊的数组</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment"># 零</span></span><br><span class="line">np.zeros( (<span class="number">3</span>,<span class="number">4</span>) )</span><br></pre></td></tr></table></figure>
<h2 id="数值范围"><a href="#数值范围" class="headerlink" title="数值范围"></a>数值范围</h2><h2 id="创建字符数组"><a href="#创建字符数组" class="headerlink" title="创建字符数组"></a>创建字符数组</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment"># 通过公差</span></span><br><span class="line">np.arange(<span class="number">1</span>,<span class="number">4</span>,<span class="number">1</span>)</span><br><span class="line"><span class="comment"># 通过数量</span></span><br><span class="line">np.linspace(<span class="number">1.</span>, <span class="number">4.</span>, <span class="number">6</span>)</span><br></pre></td></tr></table></figure>
<h2 id="从硬盘读取"><a href="#从硬盘读取" class="headerlink" title="从硬盘读取"></a>从硬盘读取</h2><p><em>略</em></p>
<h1 id="线性代数"><a href="#线性代数" class="headerlink" title="线性代数"></a>线性代数</h1><h2 id="特征值"><a href="#特征值" class="headerlink" title="特征值"></a>特征值</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">x_eig = np.linalg.eig(x)</span><br><span class="line">eig_value = x_eig[<span class="number">0</span>]</span><br><span class="line">eig_vector = x_eig[<span class="number">1</span>]</span><br></pre></td></tr></table></figure>
<h2 id="范数"><a href="#范数" class="headerlink" title="范数"></a>范数</h2><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">x_norm=np.linalg.norm(x, ord=<span class="keyword">None</span>, axis=<span class="keyword">None</span>, keepdims=<span class="keyword">False</span>)</span><br></pre></td></tr></table></figure>
<div class="table-container">
<table>
<thead>
<tr>
<th>参数</th>
<th style="text-align:center">功能</th>
<th style="text-align:center">取值</th>
<th>默认值</th>
</tr>
</thead>
<tbody>
<tr>
<td>ord</td>
<td style="text-align:center">范数类型</td>
<td style="text-align:center">2、1、np.inf</td>
<td>2</td>
</tr>
<tr>
<td>axis</td>
<td style="text-align:center">处理数据的方式</td>
<td style="text-align:center">1(行范数)、2（列范数）、None（矩阵范数）</td>
</tr>
<tr>
<td>keepdims</td>
<td style="text-align:center"></td>
<td style="text-align:center">True表示保持矩阵的二维特性，False相反</td>
</tr>
</tbody>
</table>
</div>
<ul>
<li>ord = 2 二范数$\mathcal{l}_2$</li>
<li>ord = 1 一范数$l1$</li>
<li>ord = np.inf 无穷范数</li>
</ul>
<p>axis：类型</p>
<ul>
<li>axis=1表示按行向量处理，求多个行向量的范数</li>
<li>axis=0表示按列向量处理，求多个列向量的范数</li>
<li>axis=None表示矩阵范数。</li>
</ul>
<p>keepdims</p>
<ul>
<li>True表示保持矩阵的二维特性，False相反</li>
</ul>
<h3 id="参考"><a href="#参考" class="headerlink" title="参考"></a>参考</h3><p><a href="https://blog.csdn.net/hqh131360239/article/details/79061535" target="_blank" rel="noopener">https://blog.csdn.net/hqh131360239/article/details/79061535</a></p>
<h2 id="矩阵运算"><a href="#矩阵运算" class="headerlink" title="矩阵运算"></a>矩阵运算</h2><h3 id="np-multiply"><a href="#np-multiply" class="headerlink" title="np.multiply"></a><code>np.multiply</code></h3><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> numpy <span class="keyword">as</span> np</span><br><span class="line">arr = np.arange(<span class="number">15</span>)</span><br><span class="line">mat = np.arange(<span class="number">15</span>).reshape(<span class="number">3</span>,<span class="number">5</span>)</span><br><span class="line">np.multiply(arr)</span><br></pre></td></tr></table></figure>
<h3 id="与dot"><a href="#与dot" class="headerlink" title="*与dot"></a><code>*</code>与<code>dot</code></h3><h3 id="与-np-matmul"><a href="#与-np-matmul" class="headerlink" title="@ 与 np.matmul"></a><code>@</code> 与 <code>np.matmul</code></h3><h3 id="总结"><a href="#总结" class="headerlink" title="总结"></a>总结</h3><div class="table-container">
<table>
<thead>
<tr>
<th>运算符</th>
<th>对于数组</th>
<th>对于矩阵</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>np.multiply</code></td>
<td>对应元素相乘</td>
<td>对应元素相乘</td>
</tr>
<tr>
<td><code>*</code></td>
<td>对应元素相乘</td>
<td>矩阵相乘</td>
</tr>
<tr>
<td><code>dot</code></td>
<td>？</td>
<td>？</td>
</tr>
<tr>
<td><code>@</code></td>
<td>矩阵相乘</td>
<td>矩阵相乘</td>
</tr>
<tr>
<td><code>np.matmul</code></td>
<td>矩阵相乘</td>
<td>矩阵相乘</td>
</tr>
</tbody>
</table>
</div>
<h3 id="参考-1"><a href="#参考-1" class="headerlink" title="参考"></a>参考</h3><p><a href="https://blog.csdn.net/u011851421/article/details/83783826" target="_blank" rel="noopener">Python numpy 矩阵乘法multiply()、dot()、 matmul()、’ * ‘、’@’辨析</a></p>
<h1 id="随机数"><a href="#随机数" class="headerlink" title="随机数"></a>随机数</h1>
      
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              <div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-1"><a class="nav-link" href="#Universal-Function"><span class="nav-number">1.</span> <span class="nav-text">Universal Function</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#广播"><span class="nav-number">1.1.</span> <span class="nav-text">广播</span></a></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#创建数组"><span class="nav-number">2.</span> <span class="nav-text">创建数组</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#从已有数据创建"><span class="nav-number">2.1.</span> <span class="nav-text">从已有数据创建</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#创建特殊的数组"><span class="nav-number">2.2.</span> <span class="nav-text">创建特殊的数组</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#数值范围"><span class="nav-number">2.3.</span> <span class="nav-text">数值范围</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#创建字符数组"><span class="nav-number">2.4.</span> <span class="nav-text">创建字符数组</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#从硬盘读取"><span class="nav-number">2.5.</span> <span class="nav-text">从硬盘读取</span></a></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#线性代数"><span class="nav-number">3.</span> <span class="nav-text">线性代数</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#特征值"><span class="nav-number">3.1.</span> <span class="nav-text">特征值</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#范数"><span class="nav-number">3.2.</span> <span class="nav-text">范数</span></a><ol class="nav-child"><li class="nav-item nav-level-3"><a class="nav-link" href="#参考"><span class="nav-number">3.2.1.</span> <span class="nav-text">参考</span></a></li></ol></li><li class="nav-item nav-level-2"><a class="nav-link" href="#矩阵运算"><span class="nav-number">3.3.</span> <span class="nav-text">矩阵运算</span></a><ol class="nav-child"><li class="nav-item nav-level-3"><a class="nav-link" href="#np-multiply"><span class="nav-number">3.3.1.</span> <span class="nav-text">np.multiply</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#与dot"><span class="nav-number">3.3.2.</span> <span class="nav-text">*与dot</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#与-np-matmul"><span class="nav-number">3.3.3.</span> <span class="nav-text">@ 与 np.matmul</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#总结"><span class="nav-number">3.3.4.</span> <span class="nav-text">总结</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#参考-1"><span class="nav-number">3.3.5.</span> <span class="nav-text">参考</span></a></li></ol></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#随机数"><span class="nav-number">4.</span> <span class="nav-text">随机数</span></a></li></ol></div>
            

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